دورية أكاديمية
Prediction of rubber vulcanization using an artificial neural network
| العنوان: | Prediction of rubber vulcanization using an artificial neural network |
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| المؤلفون: | Lubura Jelena D., Kojić Predrag, Pavličević Jelena, Ikonić Bojana, Omorjan Radovan, Bera Oskar |
| المصدر: | Hemijska Industrija, Vol 75, Iss 5, Pp 277-283 (2021) |
| بيانات النشر: | Association of Chemical Engineers of Serbia, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Chemical technology |
| مصطلحات موضوعية: | rubber curing, machine learning, rubber rheological properties, Chemical technology, TP1-1185 |
| الوصف: | Determination of rubber rheological properties is indispensable in order to conduct efficient vulcanization process in rubber industry. The main goal of this study was development of an advanced artificial neural network (ANN) for quick and accurate vulcanization data prediction of commercially available rubber gum for tire production. The ANN was developed by using the platform for large-scale machine learning TensorFlow with the Sequential Keras-Dense layer model, in a Python framework. The ANN was trained and validated on previously determined experimental data of torque on time at five different temperatures, in the range from 140 to 180 oC, with a step of 10 oC. The activation functions, ReLU, Sigmoid and Softplus, were used to minimize error, where the ANN model with Softplus showed the most accurate predictions. Numbers of neurons and layers were varied, where the ANN with two layers and 20 neurons in each layer showed the most valid results. The proposed ANN was trained at temperatures of 140, 160 and 180 oC and used to predict the torque dependence on time for two test temperatures (150 and 170 oC). The obtained solutions were confirmed as accurate predictions, showing the mean absolute percentage error (MAPE) and mean squared error (MSE) values were less than 1.99 % and 0.032 dN2 m2, respectively. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Serbian |
| تدمد: | 0367-598X 2217-7426 |
| Relation: | https://doaj.org/toc/0367-598X; https://doaj.org/toc/2217-7426 |
| DOI: | 10.2298/HEMIND210511026L |
| URL الوصول: | https://doaj.org/article/38f278ba3e994f6ab0af514def5b9e20 |
| رقم الأكسشن: | edsdoj.38f278ba3e994f6ab0af514def5b9e20 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 0367598X 22177426 |
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| DOI: | 10.2298/HEMIND210511026L |